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Software Engineer, Front-End Leaning

Encord· Engineering
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Hybrid (London)Full-timePosted 4mo ago

About the role

Frontend-focused role building the editor/interface for multi-modal data visualization and annotation, with emphasis on high-performance 3D/4D rendering in the browser and end-to-end ownership.

Responsibilities

  • Build and own complex UI and editor interfaces for visualising and annotating multi-modal data
  • Render high-performance 3D/4D scenes with thousands of objects in the browser
  • Work across the full stack when needed, from backend services to deployment and styling
  • Take end-to-end ownership of projects, from product and architectural decisions through to deployment, monitoring, and measuring user impact
  • Collaborate closely with a lean, high-trust team to tackle challenging problems together
  • Take initiative, be proactive in problem-solving, and continuously seek improvements

Qualifications

  • Strong frontend engineering experience, with production-grade work on complex, high-performance UIs
  • Proficiency in TypeScript and React
  • Experience with 3D rendering, WebGL, Canvas, or similar browser-based visualisation technologies is a strong plus
  • Familiarity with Python and backend development
  • Experience with Kubernetes and GCP is a plus

Skills

Required:Frontend engineeringTypeScriptReact
Nice to have:3D rendering / WebGLPython

Benefits

  • Competitive salary, commission, and meaningful equity in a high-growth startup
  • Strong in-person culture — most of the team works from our London office 4+ days/week
  • 25 days annual leave + UK public holidays
  • Annual learning & development budget
  • Travel for customer visits, events, and conferences across the UK and Europe
  • Company lunches twice a week
  • Monthly socials & bi-annual team offsites
Last updated Sep 30, 2026. Interested? Apply on the company site.
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About Encord

Building the data backbone for the (artificial) intelligence…

Encord is the leading data platform for AI. We help top AI teams get models into production faster with human-in-the-loop workflows for labeling and RLHF, infrastructure for data-centric model testing, and powerful data curation and management.

artificial-intelligencedeveloper-toolsmachine-learningcomputer-visionai
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